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AI Risk

Benchmarking (Benchmark leakage or data contamination)

"Benchmark leakage [235, 224, 221, 161] can happen when an AI model is trained or fine-tuned with evaluation-related data. This can lead to an unreliable model evaluation, especially if the data contains question-answer pairs from bench- marks."

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AI Risk6. Socioeconomic and Environmental6.5 > Governance failure1 - Pre-deployment

Record summary

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Techniques0Attack methods connected to this risk.
Mitigations0Defenses that may help with related attacks.
Domain6. Socioeconomic and EnvironmentalThe broad risk area this belongs to.

Risk profile

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Domain6. Socioeconomic and Environmental
Subdomain6.5 > Governance failure
Entity1 - Human
Intent2 - Unintentional
Timing1 - Pre-deployment
CategoryModel Evaluations
SubcategoryBenchmarking (Benchmark leakage or data contamination)

Related techniques

Attack methods connected to this risk.

No linked attack methods. No AI attack method is connected to this risk in the current data.

Suggested mitigations

Defenses that may help with related attacks.

No propagated mitigations. No defense is available through the connected attack methods.

Source

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